Innovations in Hybrid Intelligent Systems

Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd Internati...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Corchado, Emilio (-), Corchado, Juan M., Abraham, Ajith
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg 2007.
Colección:Advances in Soft Computing ; 44.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b37571771*spi
Tabla de Contenidos:
  • Hybrid Artificial Intelligence Systems
  • Hybrid Artificial Intelligence Systems
  • Agents and Multiagent Systems
  • Analysis of Emergent Properties in a Hybrid Bio-inspired Architecture for Cognitive Agents
  • Using Semantic Causality Graphs to Validate MAS Models
  • A Multiagent Framework to Animate Socially Intelligent Agents
  • Context Aware Hybrid Agents on Automated Dynamic Environments
  • Sensitive Stigmergic Agent Systems — A Hybrid Approach to Combinatorial Optimization
  • Fuzzy Systems
  • Agent-Based Social Modeling and Simulation with Fuzzy Sets
  • Stage-Dependent Fuzzy-valued Loss Function in Two-Stage Binary Classifier
  • A Feature Selection Method Using a Fuzzy Mutual Information Measure
  • Interval Type-2 ANFIS
  • A Vision-Based Hybrid Classifier for Weeds Detection in Precision Agriculture Through the Bayesian and Fuzzy k-Means Paradigms
  • Artificial Neural Networks
  • Development of Multi-output Neural Networks for Data Integration — A Case Study
  • Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks
  • Modeling Heterogeneous Data Sets with Neural Networks
  • A Computational Model of the Equivalence Class Formation Psychological Phenomenon
  • Data Security Analysis Using Unsupervised Learning and Explanations
  • Finding Optimal Model Parameters by Discrete Grid Search
  • Clustering and Multiclassfier Systems
  • A Hybrid Algorithm for Solving Clustering Problems
  • Clustering Search Heuristic for the Capacitated p-Median Problem
  • Experiments with Trained and Untrained Fusers
  • Fusion of Visualization Induced SOM
  • Robots
  • Open Intelligent Robot Controller Based on Field-Bus and RTOS
  • Evolutionary Controllers for Snake Robots Basic Movements
  • Evolution of Neuro-controllers for Multi-link Robots
  • Solving Linear Difference Equations by Means of Cellular Automata
  • Metaheuristics and Optimization Models
  • Automated Classification Tree Evolution Through Hybrid Metaheuristics
  • Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms
  • Collaborative Evolutionary Swarm Optimization with a Gauss Chaotic Sequence Generator
  • A New PSO Algorithm with Crossover Operator for Global Optimization Problems
  • Solving Bin Packing Problem with a Hybridization of Hard Computing and Soft Computing
  • Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series
  • Experimental Analysis for the Lennard-Jones Problem Solution
  • Application of Genetic Algorithms to Strip Hot Rolling Scheduling
  • Synergy of PSO and Bacterial Foraging Optimization — A Comparative Study on Numerical Benchmarks
  • Artificial Vision
  • Bayes-Based Relevance Feedback Method for CBIR
  • A Novel Hierarchical Block Image Retrieval Scheme Based Invariant Features
  • A New Unsupervised Hybrid Classifier for Natural Textures in Images
  • Visual Texture Characterization of Recycled Paper Quality
  • Case-Based Reasoning
  • Combining Improved FYDPS Neural Networks and Case-Based Planning — A Case Study
  • CBR Contributions to Argumentation in MAS
  • Case-Base Maintenance in an Associative Memory Organized by a Self-Organization Map
  • Hybrid Multi Agent-Neural Network Intrusion Detection with Mobile Visualization
  • Learning Models
  • Knowledge Extraction from Environmental Data Through a Cognitive Architecture
  • A Model of Affective Entities for Effective Learning Environments
  • Bioinformatics
  • Image Restoration in Electron Cryotomography — Towards Cellular Ultrastructure at Molecular Level
  • SeqTrim — A Validation and Trimming Tool for All Purpose Sequence Reads
  • A Web Tool to Discover Full-Length Sequences — Full-Lengther
  • Discovering the Intrinsic Dimensionality of BLOSUM Substitution Matrices Using Evolutionary MDS
  • Autonomous FYDPS Neural Network-Based Planner Agent for Health Care in Geriatric Residences
  • Structure-Preserving Noise Reduction in Biological Imaging
  • Ensemble of Support Vector Machines to Improve the Cancer Class Prediction Based on the Gene Expression Profiles
  • NATPRO-C13 — An Interactive Tool for the Structural Elucidation of Natural Compounds
  • Application of Chemoinformatic Tools for the Analysis of Virtual Screening Studies of Tubulin Inhibitors
  • Identification of Glaucoma Stages with Artificial Neural Networks Using Retinal Nerve Fibre Layer Analysis and Visual Field Parameters
  • Dimensional Reduction in the Protein Secondary Structure Prediction — Nonlinear Method Improvements
  • Other Applications
  • Focused Crawling for Retrieving Chemical Information
  • Optimal Portfolio Selection with Threshold in Stochastic Market
  • Classification Based on Association Rules for Adaptive Web Systems
  • Statistical Selection of Relevant Features to Classify Random, Scale Free and Exponential Networks
  • Open Partner Grid Service Architecture in eBusiness
  • An Architecture to Support Programming Algorithm Learning by Problem Solving
  • Explain a Weblog Community
  • Implementing Data Mining to Improve a Game Board Based on Cultural Algorithms.